This algorithm easily escapes from local optimal solution , have high searching efficiency , simple structure , convenient use . aiming at iteration , optimization and matlab optimization toolbox having low precision and difficulty to choose initial vector on acquiring nonlinear equations ’ solutions , equations ’ solution problem is translated into genetic algorithm optimization problem . nonlinear equations ’ usual genetic 針對迭代法、最優(yōu)法、 matlab最優(yōu)化工具箱求解非線性方程組中存在求解精度不高及初始矢量難選等問題,將方程組求解問題轉(zhuǎn)化為遺傳算法函數(shù)優(yōu)化問題,建立了非線性方程組通用的遺傳算法解法,并將其用于汽車滑行試驗數(shù)據(jù)處理中。